VDHL Implementation of Viterbi Algorithm for Decoding of Convolutional Code

Mishra, Shivshankar; Tripathi, Ram Racksha

doi:10.1109/cicn.2015.265

Cited by 3 publications

(4 citation statements)

References 9 publications

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“…Convolutional code is a channel code with error correction capability, which can effectively reduce transmission error [61]. The decoding method is Viterbi decoding.…”

Section: Generation Of Convolutional Codementioning

confidence: 99%

A Viterbi Decoder under Class A Modeled Noise in Shallow Water

Wang

Fan

Zhang

et al. 2022

Wireless Communications and Mobile Computing

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A traditional Viterbi decoder is primarily optimized for additive white Gaussian noise (AWGN). With the AWGN channel, it offers good decoding performance. However, the underwater acoustic communication (UAC) channel is extremely complicated. In addition to white noise, there are a variety of artificial and natural impulse noise that occur suddenly. The traditional Viterbi decoder cannot obtain the optimum performance under this case. In order to solve this problem, this paper introduces a novel Viterbi decoder with the impulsive noise, which is considered to be subjected to Middleton Class A distribution in shallow ocean. Since Middleton Class A noise is very complicated, a simplified model is first introduced. Then, the error analysis of simplified model under various parameters is discussed in detail. The analysis shows that the simplified one just leads to slight error. Hereafter, a novel Veterbi decoder using the simplified model is discussed. Compared to a traditional decoder, a preprocessing is just required. The performance of soft decision-based decoder in the Middleton Class A noise channel (MAIN) and AWGN are further compared. Based on our simulations, the new decoder can significantly improve the performance in comparison with conventional one, which further validates our presented method.

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“…Convolutional code is a channel code with error correction capability, which can effectively reduce transmission error [61]. The decoding method is Viterbi decoding.…”

Section: Generation Of Convolutional Codementioning

confidence: 99%

A Viterbi Decoder under Class A Modeled Noise in Shallow Water

Wang

Fan

Zhang

et al. 2022

Wireless Communications and Mobile Computing

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“…[11] Data is demultiplexed into v sub-streams, where v = 2 for QPSK, v=4 for 16-QAM, and v=6 for 64-QAM respectively. [7], [8] …”

Section: Bit-wise Interleavingmentioning

confidence: 99%

“…For 2k mode, 126 data from bit interleaver are grouped into 12 to give vector length 1512 while for 8k mode these 126 data are grouped into 48 to give vector length 6048. [7], [8] 2k mode is the one used in this design implementation. …”

Section: Symbol Interleavermentioning

confidence: 99%

“…[5] This paper is concerned with designing and implementing a convolutional encoder and a Viterbi decoder with interleaver/de-interleaver of DVB-T system, that are essential blocks in digital communication systems, using FPGA technology and comparing their results with that of the IPcore built-in design on Xilinx ISE (Integrated Software Environment) design Suite 12.4 program. There were many efforts to design and implement a convolutional encoder and Viterbi decoder with same constraint length(k=7) but without puncturing and with hard Viterbi decoder as in these papers [6], [7], [8], [9]. But this paper added the puncturing with code rate 2/3, soft Viterbi decoder and also their integration with inner interleaver and inner deinterleaver.…”

Section: Introductionmentioning

confidence: 99%

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Implementation of a standard inner convolutional codec for DVB-T system using VHDL

Hussein

Zekry²,

Baioumy³

et al. 2017

IJET

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Forward error correction (FEC) plays a vital role in digital communication systems. DVB-T system uses FEC as a channel coding technique to restore any data lost through transmission to the receiver. DVB-T system uses two levels of error protection. The first level is applied in the data transmitted by using a Reed-Solomon RS (204, 188) code followed by a convolutional interleaver. The other level of error protection is a punctured convolutional inner coding followed by an inner interleave in which the data sequence is rearranged again to minimize the influence of burst errors. This paper describes the implementation of inner convolutional codec (Convolutional coder and Viterbi Decoder) and inner de/interleaving of a standard DVB-T system with a constrained length of 7 and a code rate of 2/3 using VHDL on virtex-6 FPGA xc6vlx240t. The designed channel convolutional encoder and Viterbi decoder follow European Standard ETSI EN 300 744 for digital terrestrial television. Verification of the design is accomplished by loop back and by comparison with the corresponding Xilinx core. Utilization and timing re-ports of the implemented device on Vertex 6 are included.

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Concurrent Architecture of High Speed Viterbi Decoder Using Xilinx HLS Tool

Zunzunwala

Joshi

2022

2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)

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VDHL Implementation of Viterbi Algorithm for Decoding of Convolutional Code

Cited by 3 publications

References 9 publications

A Viterbi Decoder under Class A Modeled Noise in Shallow Water

A Viterbi Decoder under Class A Modeled Noise in Shallow Water

Implementation of a standard inner convolutional codec for DVB-T system using VHDL

Concurrent Architecture of High Speed Viterbi Decoder Using Xilinx HLS Tool

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